| Quantification of intravoxel incoherent motion with optimized b‐values using deep neural network W Lee, B Kim, HW Park Magnetic Resonance in Medicine 86 (1), 230-244, 2021 | 18 | 2021 |
| Registration and quantification network (RQnet) for IVIM‐DKI analysis in MRI W Lee, G Choi, J Lee, HW Park Magnetic Resonance in Medicine 89 (1), 250-261, 2023 | 5 | 2023 |
| Unsupervised motion artifact correction of turbo spin‐echo MRI using deep image prior J Lee, H Seo, W Lee, HW Park Magnetic Resonance in Medicine 92 (1), 28-42, 2024 | 3 | 2024 |
| Self‐supervised learning for denoising of multidimensional MRI data B Kang, W Lee, H Seo, HY Heo, HW Park Magnetic resonance in medicine 92 (5), 1980-1994, 2024 | 2 | 2024 |
| A noise robust image reconstruction deep neural network with cycle interpolation J Kim, W Lee, B Kang, S So, HW Park Proc. ISMRM, 3717, 2023 | 2 | 2023 |
| Sparsity constrained linear tangent space alignment model (LTSA) for 3D cardiac extracellular volume mapping IBG Mounime, W Lee, T Marin, PK Han, Y Djebra, SV Eslahi, P Gori, ... 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-5, 2024 | 1 | 2024 |
| A noise robust image reconstruction using slice aware cycle interpolator network for parallel imaging in MRI J Kim, W Lee, B Kang, H Seo, HW Park Medical Physics, 2024 | 1 | 2024 |
| Free‐breathing 3D cardiac extracellular volume (ECV) mapping using a linear tangent space alignment (LTSA) model W Lee, PK Han, T Marin, IBG Mounime, S Vafay Eslahi, Y Djebra, D Chi, ... Magnetic Resonance in Medicine 93 (2), 536-549, 2025 | | 2025 |
| Method of quantifying magnetic resonance diffusion parameters by using diffusion weighted magnetic resonance images H Park, W Lee, LEE Jongyeon, C Giyong US Patent App. 18/162,016, 2024 | | 2024 |
| Unsupervised correction network for Nyquist ghost artifact and geometry distortion in echo planar imaging J Kim, K Kwon, S So, B Kim, W Lee, HW Park | | 2022 |
| Multi-domain Motion Correction Network for Turbo Spin-echo MRI J Lee, W Lee, N Jeong, HW Park | | 2022 |
| Registration and quantification net (RQnet) for IVIM-DKI analysis W Lee, G Choi, J Lee, HW Park | | 2022 |
| Motion Correction and Registration Networks for Multi-Contrast Brain MRI J Lee, B Kim, W Lee, HW Park | | 2021 |
| IVIM quantification and b-value optimization using deep neural network W Lee, B Kim, J Lee, HW Park | | 2021 |
| Highly accelerated distortion free diffusion imaging using joint k/q-space reconstruction. W Lee, S So, J Cho, C Liao, Q Tian, H Park, E Adalsteinsson, ... | | 2020 |
| A Parallel Scheme of RF Irradiation and Data Acquisition for Chemical Exchange Saturation Transfer (CEST) MRI B Kim, J Cho, K Kwon, S So, W Lee, H Park | | 2018 |
| Proton resonance frequency based MR thermometry using shifted-echo bSSFP S So, J Cho, K Kwon, B Kim, W Lee, H Park | | 2018 |
| A deep learning-based approach to nuisance signal removal from MRSI data aqcuired without suppression W Lee, Y Zhuo, T Marin, PK Han, D Chi, G El Fakhri, C Ma | | |
| A noise-robust accelerated MRI reconstruction using CycleGAN S Kim, W Lee, N Jeong, J Kim, J Lee, B Kang, HW Park | | |
| Constraint function for IVIM quantification using unsupervised learning W Lee, B Kang, J Lee, G El Fakhri, C Ma, Y Han, JY Chung, Y Noh, ... | | |
HyunWook ParkProfessor of Electrical Engineering, KAISTVerified email at kaist.edu